About

Gaurav Singh is a skilled Node.js developer with a passion for machine learning and data science. Currently a senior undergraduate at Government Engineering College Bikaner, Gaurav has already gained valuable experience in the field through internships at The Sparks Foundation and Technocolabs. Gaurav is proficient in Python, C++, and basic JavaScript, and has experience with libraries such as Pandas, Matplotlib, Seaborn, and Sci-kit learn. He has worked on projects in both machine learning and deep learning, and has a basic understanding of SQL and MongoDB. Gaurav is currently working as a Machine Learning and Artificial Intelligence Trainer at Nasscomm, where he has demonstrated and presented a mini-project on "Image classification using CNN" and applied various machine learning algorithms such as Logistic Regression, Decision Tree, and Random Forest on various datasets. In his previous internships, Gaurav implemented machine learning algorithms such as Linear Regression, Logistic Regression, SVM, Naive Bayes, and Decision Tree from scratch on various open-source datasets and compared their performances. He also built a deep learning model that could precisely predict the price movement of stocks, a topic of interest for both investors and researchers. Gaurav is seeking a job opportunity in a reputable organization to utilize his technical, analytical, and management skills for the growth of the organization and to enhance his knowledge of new emerging trends in software development and the data science sector. He is a quick learner, a team player, and always willing to take on new challenges. Gaurav's tech stack includes Node.js, software engineering, machine learning, data science, deep learning, SQL, Seaborn, JavaScript, Pandas, MongoDB, Naive Bayes, and SVM. With 0.77 years of relevant experience, Gaurav is a promising candidate for any organization looking for a skilled and motivated Node.js developer with a passion for machine learning and data science.